Program for Cultural Education Optimization by the Application of Numerical Methods
DOI:
https://doi.org/10.63332/joph.v5i1.2687Keywords:
Cultural Education; Optimization; Numerical Methods; Linear Programming; Program Allocation; Cultural Engagement; Resource Management; Educational Equity; Policy SimulationAbstract
Cultural education is of critical importance in the process of conserving and conveying the socio-cultural identity of communities, especially in countries that are bilingual and multiethnic. On the other hand, despite the fact that resource limits and geographical inequities continue to exist, differences in the accessibility and efficiency of cultural programs continue to be a chronic concern. From the findings of this research, an optimization framework that is based on numerical approaches is proposed with the intention of improving the efficiency of cultural education programs. Through the use of linear programming, sensitivity analysis, and official demographic-cultural information, the study models a method for allocation that is both cost-effective and equitable. Not only does the technique identify the ideal allocation, but it also takes into account important criteria like the regional cultural involvement index, the program variety index, and the budget elasticity. Using data from the United Nations Educational, Scientific, and Cultural Organization (UNESCO) and statistics from the national census, empirical validation indicates a meaningful increase in the level of program reach and resource allocation efficiency. This finding provides more evidence that numerical optimization is an effective decision-making tool that may be used in the process of educational policy development. This work makes a substantial contribution to the existing body of literature on mathematical modelling as well as to the field of applied cultural education strategy.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
CC Attribution-NonCommercial-NoDerivatives 4.0
The works in this journal is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
